Matplotlib.pyplot.xscale() function in Python

# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
import numpy as np 
from matplotlib.ticker import EngFormatter 
  
val = np.random.RandomState(19680801) 
xs = np.logspace(1, 9, 100) 
ys = (0.8 + 4 * val.uniform(size = 100)) * np.log10(xs)**2
   
plt.xscale('log') 
plt.plot(xs, ys) 
plt.xlabel('Frequency') 
  
plt.title('matplotlib.pyplot.xscale() \
function Example\n', fontweight ="bold") 
  
plt.show() 

# Implementation of matplotlib function 
import numpy as np 
import matplotlib.pyplot as plt 
  
fig, ax4 = plt.subplots() 
  
x = 10.0**np.linspace(0.0, 2.0, 15) 
y = x**2.0
plt.xscale("log", nonposx ='clip') 
plt.yscale("log", nonposy ='clip') 
  
plt.errorbar(x, y, xerr = 0.1 * x, 
             yerr = 2.0 + 1.75 * y,  
             color ="green") 
  
plt.ylim(bottom = 0.1) 
  
plt.title('matplotlib.pyplot.xscale() \
function Example\n', fontweight ="bold") 
  
plt.show()